The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-09-07"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "27332433 (up from 27103845 yesterday: 0.84 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "892443 (up from 883339 yesterday: 1.03 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 5450575

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 3.27



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 6300622 24257 0.39 862297 189208 267 0.14 3.00
India 4280422 75809 1.80 1577741 72775 1133 1.58 1.70
Brazil 4147794 10273 0.25 788224 126960 310 0.24 3.06
Russia 1027334 5106 0.50 101776 17818 50 0.28 1.73
Peru 689977 6275 0.92 154031 29838 151 0.51 4.32
Colombia 666521 0 0.00 189861 21412 0 0.00 3.21
South Africa 639362 845 0.13 49476 15004 115 0.77 2.35
Mexico 637509 3486 0.55 111776 67781 223 0.33 10.63
Spain 525549 26560 5.32 166467 29516 98 0.33 5.62
Argentina 488007 9215 1.92 188881 10129 270 2.74 2.08
Chile 424274 1764 0.42 36772 11652 60 0.52 2.75
Iran 388810 2152 0.56 43360 22410 117 0.52 5.76
France 367174 19906 5.73 110641 30732 2 0.01 8.37
United Kingdom 352451 2951 0.84 31387 41643 3 0.01 11.82
Bangladesh 327359 2202 0.68 48215 4516 37 0.83 1.38
Saudi Arabia 321456 768 0.24 21542 4107 26 0.64 1.28
Pakistan 299233 330 0.11 10018 6350 5 0.08 2.12
Turkey 281509 1703 0.61 30967 6730 57 0.85 2.39
Italy 278784 1150 0.41 24549 35553 12 0.03 12.75
Iraq 264684 4314 1.66 84551 7589 77 1.03 2.87
Germany 253626 1898 0.75 26926 9331 1 0.01 3.68
Philippines 238727 1362 0.57 74253 3890 15 0.39 1.63
Indonesia 196989 2880 1.48 55619 8130 105 1.31 4.13
Ukraine 141424 2253 1.62 46417 2930 32 1.10 2.07
Canada 134295 405 0.30 10077 9196 2 0.02 6.85
Israel 133975 3331 2.55 39224 1026 7 0.69 0.77
Bolivia 121604 835 0.69 20381 7054 1656 30.68 5.80
Qatar 120348 253 0.21 4980 205 2 0.99 0.17
Ecuador 110092 -7953 -6.74 8341 10576 3852 57.29 9.61
Kazakhstan 106425 64 0.06 3125 1588 0 0.00 1.49
Egypt 100041 178 0.18 3451 5541 11 0.20 5.54
Dominican Republic 99898 565 0.57 13161 1864 19 1.03 1.87
Panama 97578 535 0.55 15035 2099 13 0.62 2.15
Romania 95897 883 0.93 24703 3926 33 0.85 4.09
Kuwait 90387 805 0.90 13560 546 2 0.37 0.60
China 90078 20 0.02 637 4732 2 0.04 5.25
Belgium 88769 402 0.45 10235 9909 2 0.02 11.16
Oman 87328 256 0.29 4102 734 6 0.82 0.84
Sweden 85558 573 0.67 513 5837 2 0.03 6.82
Netherlands 78702 845 1.09 13722 6278 1 0.02 7.98
Guatemala 77828 145 0.19 14884 2862 10 0.35 3.68
United Arab Emirates 74454 470 0.64 9913 390 2 0.52 0.52
Morocco 73780 1386 1.91 30222 1394 33 2.42 1.89
Belarus 73031 172 0.24 3442 716 5 0.70 0.98
Japan 72213 295 0.41 15496 1377 11 0.81 1.91
Poland 71126 302 0.43 13847 2124 4 0.19 2.99
Honduras 64814 50 0.08 13819 2023 16 0.80 3.12
Portugal 60507 249 0.41 6273 1843 3 0.16 3.05
Ethiopia 59648 976 1.66 28312 933 15 1.63 1.56
Singapore 57044 22 0.04 1206 27 0 0.00 0.05
Bahrain 56076 661 1.19 8891 200 1 0.50 0.36
Nigeria 55160 155 0.28 5675 1061 4 0.38 1.92
Venezuela 54350 1061 1.99 19548 436 8 1.87 0.80
Costa Rica 48780 1860 3.96 19696 510 32 6.69 1.05
Nepal 47236 979 2.12 19995 300 11 3.81 0.64
Algeria 46653 289 0.62 7628 1562 6 0.39 3.35
Ghana 44869 92 0.21 2216 283 0 0.00 0.63
Armenia 44845 62 0.14 3144 900 3 0.33 2.01
Switzerland 44592 191 0.43 6340 2014 1 0.05 4.52
Kyrgyzstan 44458 55 0.12 2467 1060 0 0.00 2.38
Uzbekistan 43893 306 0.70 8191 352 5 1.44 0.80
Moldova 40055 258 0.65 9678 1074 11 1.03 2.68
Afghanistan 38494 96 0.25 895 1415 3 0.21 3.68
Azerbaijan 37418 89 0.24 3075 551 3 0.55 1.47
Kenya 35205 102 0.29 4840 599 2 0.34 1.70
Serbia 31941 36 0.11 2159 725 1 0.14 2.27
Ireland 29774 102 0.34 2461 1777 0 0.00 5.97
Austria 29561 290 0.99 6027 746 10 1.36 2.52
Czechia 28716 560 1.99 8514 437 1 0.23 1.52
West Bank and Gaza 26779 652 2.50 9935 184 3 1.66 0.69
El Salvador 26413 105 0.40 3220 764 5 0.66 2.89
Australia 26373 52 0.20 2600 770 8 1.05 2.92
Paraguay 23353 867 3.86 13218 449 14 3.22 1.92
Bosnia and Herzegovina 21660 100 0.46 5549 664 9 1.37 3.07
Korea, South 21432 136 0.64 5671 341 5 1.49 1.59
Lebanon 20826 400 1.96 11489 200 9 4.71 0.96
Cameroon 19604 0 0.00 1022 415 0 0.00 2.12
Libya 18834 1085 6.11 10255 296 11 3.86 1.57
Cote d’Ivoire 18701 113 0.61 1594 119 0 0.00 0.64
Denmark 18540 230 1.26 2413 628 1 0.16 3.39
Bulgaria 17146 57 0.33 2646 677 1 0.15 3.95
Madagascar 15352 33 0.22 1466 202 2 1.00 1.32
North Macedonia 15127 37 0.25 2287 623 6 0.97 4.12
Senegal 14014 27 0.19 1777 291 1 0.34 2.08
Sudan 13437 0 0.00 1027 833 0 0.00 6.20
Zambia 12836 60 0.47 2997 295 0 0.00 2.30
Kosovo 12683 0 0.00 1408 488 0 0.00 3.85
Croatia 12081 117 0.98 5425 201 3 1.52 1.66
Greece 11663 139 1.21 4441 289 5 1.76 2.48
Norway 11521 133 1.17 1461 264 0 0.00 2.29
Albania 10406 151 1.47 2907 319 3 0.95 3.07
Congo (Kinshasa) 10233 23 0.23 527 260 0 0.00 2.54

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 740965 2109 0.29 111550 13758 27 0.20 1.86 18752.80 348.20 1 in 53
Texas 659041 839 0.13 97931 13697 43 0.31 2.08 22728.78 472.38 1 in 44
Florida 648269 1838 0.28 72175 11871 22 0.19 1.83 30183.30 552.71 1 in 33
New York 440021 520 0.12 14105 33002 15 0.05 7.50 22619.05 1696.45 1 in 44
Georgia 283807 608 0.21 44946 6044 7 0.12 2.13 26730.31 569.25 1 in 37
Illinois 252884 1369 0.54 43699 8398 8 0.10 3.32 19956.41 662.73 1 in 50
Arizona 205964 197 0.10 11959 5219 -2 -0.04 2.53 27047.52 685.37 1 in 37
New Jersey 194390 332 0.17 6623 15991 2 0.01 8.23 21885.37 1800.34 1 in 46
North Carolina 177919 1018 0.58 32403 2897 7 0.24 1.63 16963.92 276.22 1 in 59
Tennessee 165109 983 0.60 30365 1869 4 0.21 1.13 24162.86 273.52 1 in 41
Louisiana 153177 309 0.20 14692 5105 12 0.24 3.33 32949.84 1098.13 1 in 30
Pennsylvania 144540 716 0.50 14893 7771 21 0.27 5.38 11290.43 607.02 1 in 89
Alabama 132973 659 0.50 23969 2276 0 0.00 1.71 27119.72 464.19 1 in 37
Ohio 131336 778 0.60 22274 4276 17 0.40 3.26 11235.77 365.81 1 in 89
Virginia 127516 639 0.50 20095 2684 6 0.22 2.10 14939.45 314.45 1 in 67
South Carolina 125607 655 0.52 18654 2907 20 0.69 2.31 24395.80 564.61 1 in 41
Massachusetts 122791 229 0.19 -1050 9133 8 0.09 7.44 17669.03 1314.19 1 in 57
Michigan 118403 1212 1.03 15654 6810 4 0.06 5.75 11855.88 681.90 1 in 84
Maryland 112883 764 0.68 12168 3804 5 0.13 3.37 18671.68 629.21 1 in 54
Indiana 100394 590 0.59 19388 3368 4 0.12 3.35 14912.47 500.28 1 in 67
Missouri 95406 914 0.97 26181 1687 2 0.12 1.77 15544.95 274.87 1 in 64
Mississippi 87130 242 0.28 14718 2585 1 0.04 2.97 29276.09 868.57 1 in 34
Wisconsin 81760 567 0.70 15564 1168 0 0.00 1.43 14042.24 200.60 1 in 71
Minnesota 81225 638 0.79 15509 1912 3 0.16 2.35 14402.54 339.03 1 in 69
Washington 77545 310 0.40 9824 1953 0 0.00 2.52 10183.33 256.47 1 in 98
Nevada 71967 357 0.50 10000 1393 4 0.29 1.94 23364.73 452.25 1 in 43
Iowa 70537 322 0.46 17708 1170 3 0.26 1.66 22356.71 370.83 1 in 45
Arkansas 65727 350 0.54 12650 908 14 1.57 1.38 21779.59 300.88 1 in 46
Oklahoma 64220 613 0.96 15509 853 0 0.00 1.33 16229.59 215.57 1 in 62
Colorado 59464 213 0.36 6113 1973 1 0.05 3.32 10325.88 342.61 1 in 97
Utah 55033 373 0.68 8139 423 1 0.24 0.77 17165.85 131.94 1 in 58
Connecticut 53365 0 0.00 2098 4468 0 0.00 8.37 14967.94 1253.20 1 in 67
Kentucky 53064 290 0.55 13373 996 0 0.00 1.88 11877.32 222.93 1 in 84
Kansas 46337 507 1.11 11723 483 2 0.42 1.04 15905.25 165.79 1 in 63
Nebraska 35975 89 0.25 5412 404 0 0.00 1.12 18597.42 208.85 1 in 54
Puerto Rico 35375 842 2.44 8615 477 0 0.00 1.35 11076.52 149.36 1 in 90
Idaho 33738 74 0.22 5801 385 0 0.00 1.14 18826.33 214.84 1 in 53
Oregon 28190 146 0.52 4739 482 1 0.21 1.71 6683.68 114.28 1 in 150
New Mexico 26144 37 0.14 2644 807 4 0.50 3.09 12468.35 384.87 1 in 80
Rhode Island 22243 0 0.00 1671 1055 0 0.00 4.74 20996.62 995.88 1 in 48
Delaware 18249 206 1.14 1713 609 0 0.00 3.34 18740.68 625.41 1 in 53
South Dakota 15300 191 1.26 4940 173 0 0.00 1.13 17294.80 195.56 1 in 58
District of Columbia 14315 36 0.25 1042 611 0 0.00 4.27 20283.42 865.75 1 in 49
North Dakota 13801 170 1.25 5154 156 0 0.00 1.13 18110.08 204.71 1 in 55
West Virginia 11575 157 1.38 2934 248 -1 -0.40 2.14 6476.80 138.77 1 in 154
Hawaii 9959 104 1.06 4744 86 1 1.18 0.86 7033.83 60.74 1 in 142
Montana 8316 52 0.63 2524 118 1 0.85 1.42 7780.85 110.41 1 in 129
New Hampshire 7476 29 0.39 472 433 0 0.00 5.79 5498.23 318.45 1 in 182
Alaska 5793 33 0.57 1484 42 0 0.00 0.73 7918.86 57.41 1 in 126
Maine 4701 18 0.38 504 134 0 0.00 2.85 3497.22 99.69 1 in 286
Wyoming 4032 0 0.00 701 42 0 0.00 1.04 6966.63 72.57 1 in 144
Vermont 1651 3 0.18 124 58 0 0.00 3.51 2645.88 92.95 1 in 378

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 12158292 740965 6.09 2224512 111550 5.01 307709.6
2 Texas 5320999 659041 12.39 844832 97931 11.59 183508.8
3 Florida 4801684 648269 13.50 548808 72175 13.15 223565.6
4 New York 8855109 440021 4.97 1730022 14105 0.82 455192.2
5 Georgia 2488841 283807 11.40 461424 44946 9.74 234411.0
6 Illinois 4449275 252884 5.68 1042846 43699 4.19 351115.7
7 Arizona 1263397 205964 16.30 165009 11959 7.25 165911.3
8 New Jersey 3054528 194390 6.36 543458 6623 1.22 343893.6
9 North Carolina 2459582 177919 7.23 524110 32403 6.18 234512.0
10 Tennessee 2344781 165109 7.04 473673 30365 6.41 343146.7
11 Louisiana 1964229 153177 7.80 289940 14692 5.07 422524.4
12 Pennsylvania 1748241 144540 8.27 280922 14893 5.30 136560.1
13 Alabama 987995 132973 13.46 135072 23969 17.75 201500.7
14 Ohio 2426014 131336 5.41 576998 22274 3.86 207545.0
15 Virginia 1682098 127516 7.58 308656 20095 6.51 197070.4
16 South Carolina 1009710 125607 12.44 136163 18654 13.70 196109.2
17 Massachusetts 1869279 122791 6.57 404365 -1050 -0.26 268980.2
18 Michigan 2962678 118403 4.00 622471 15654 2.51 296657.7
19 Maryland 1405189 112883 8.03 247577 12168 4.91 232428.6
20 Indiana 1146572 100394 8.76 231939 19388 8.36 170311.2
21 Missouri 1054385 95406 9.05 195768 26181 13.37 171795.9
22 Mississippi 598051 87130 14.57 73462 14718 20.03 200947.9
23 Wisconsin 1313721 81760 6.22 176966 15564 8.79 225630.9
24 Minnesota 1197675 81225 6.78 197652 15509 7.85 212367.6
25 Washington 1563053 77545 4.96 545485 9824 1.80 205262.6
26 Nevada 622642 71967 11.56 71219 10000 14.04 202146.2
27 Iowa 655846 70537 10.76 101862 17708 17.38 207870.5
28 Arkansas 772813 65727 8.50 150351 12650 8.41 256082.8
29 Oklahoma 924306 64220 6.95 168976 15509 9.18 233589.3
30 Colorado 1059557 59464 5.61 186506 6113 3.28 183991.2
31 Utah 691743 55033 7.96 89948 8139 9.05 215768.0
32 Connecticut 1237658 53365 4.31 255690 2098 0.82 347141.2
33 Kentucky 869233 53064 6.10 152417 13373 8.77 194560.6
34 Kansas 436686 46337 10.61 82424 11723 14.22 149893.2
35 Nebraska 377461 35975 9.53 54470 5412 9.94 195130.0
37 Idaho 268189 33738 12.58 43702 5801 13.27 149653.6
38 Oregon 588166 28190 4.79 96949 4739 4.89 139450.6
39 New Mexico 791836 26144 3.30 121263 2644 2.18 377635.0
40 Rhode Island 557522 22243 3.99 126517 1671 1.32 526281.4
41 Delaware 252602 18249 7.22 39964 1713 4.29 259407.8
42 South Dakota 156093 15300 9.80 26800 4940 18.43 176444.3
43 District of Columbia 313715 14315 4.56 68060 1042 1.53 444513.6
44 North Dakota 211898 13801 6.51 31479 5154 16.37 278058.7
45 West Virginia 461765 11575 2.51 100926 2934 2.91 258381.1
46 Hawaii 234903 9959 4.24 72955 4744 6.50 165907.0
47 Montana 267125 8316 3.11 62400 2524 4.04 249935.0
48 New Hampshire 222299 7476 3.36 36328 472 1.30 163489.9
49 Alaska 388621 5793 1.49 82973 1484 1.79 531233.2
50 Maine 300032 4701 1.57 87478 504 0.58 223202.9
51 Wyoming 78344 4032 5.15 17446 701 4.02 135365.5
52 Vermont 145993 1651 1.13 32770 124 0.38 233967.3

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 943772 36560 4.03 672556 71.26 243446 27407 803 3.02 2.90
Andhra Pradesh 517094 18969 3.81 415765 80.40 96769 4560 143 3.24 0.88
Tamil Nadu 474940 11460 2.47 416715 87.74 50210 8015 176 2.25 1.69
Karnataka 412190 13639 3.42 308573 74.86 96918 6680 287 4.49 1.62
Uttar Pradesh 278473 12190 4.58 211170 75.83 63256 4047 127 3.24 1.45
Delhi 197135 5686 2.97 170140 86.31 22377 4618 51 1.12 2.34
West Bengal 186956 6168 3.41 160025 85.60 23254 3677 115 3.23 1.97
Bihar 150694 3036 2.06 134089 88.98 15839 765 11 1.46 0.51
Telangana 145163 4194 2.98 112587 77.56 31670 906 20 2.26 0.62
Odisha 131382 7351 5.93 102185 77.78 28575 622 23 3.84 0.47
Assam 130823 5363 4.27 101240 77.39 29202 378 18 5.00 0.29
Gujarat 106966 2625 2.52 87579 81.88 16253 3134 28 0.90 2.93
Rajasthan 94126 3170 3.49 77872 82.73 15090 1164 27 2.37 1.24
Kerala 92516 4674 5.32 68859 74.43 23218 373 25 7.18 0.40
Haryana 81059 4510 5.89 63315 78.11 16890 854 48 5.96 1.05
Madhya Pradesh 77323 3749 5.10 58509 75.67 17205 1609 37 2.35 2.08
Punjab 67547 4074 6.42 49327 73.03 16230 1990 128 6.87 2.95
Jharkhand 55296 4233 8.29 39362 71.18 15438 496 27 5.76 0.90
Chhattisgarh 50114 4851 10.72 22792 45.48 26915 407 27 7.11 0.81
Jammu and Kashmir 45925 2368 5.44 33251 72.40 11859 815 31 3.95 1.77
Uttarakhand 26094 1465 5.95 17473 66.96 8184 360 19 5.57 1.38
Goa 21630 801 3.85 16875 78.02 4499 256 20 8.47 1.18
Puducherry 17749 717 4.21 12581 70.88 4831 337 23 7.32 1.90
Tripura 16154 1027 6.79 9342 57.83 6639 152 8 5.56 0.94
Himachal Pradesh 7831 416 5.61 5444 69.52 2315 59 5 9.26 0.75
Manipur 7202 180 2.56 5484 76.15 1679 39 1 2.63 0.54
Chandigarh 6372 609 10.57 3960 62.15 2334 75 4 5.63 1.18
Arunachal Pradesh 5401 401 8.02 3723 68.93 1669 9 1 12.50 0.17
Nagaland 4245 67 1.60 3728 87.82 496 8 0 0.00 0.19
Andaman and Nicobar Islands 3392 60 1.80 3035 89.48 307 50 0 0.00 1.47
Ladakh 3102 66 2.17 2288 73.76 779 35 0 0.00 1.13
Meghalaya 3076 71 2.36 1716 55.79 1343 17 1 6.25 0.55
Dadra and Nagar Haveli and Daman and Diu 2613 46 1.79 2309 88.37 279 2 0 0.00 0.08
Sikkim 1958 48 2.51 1413 72.17 538 7 2 40.00 0.36
Mizoram 1123 30 2.74 745 66.34 378 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1716130 101814 109 0.11 5.93 242 26 8110 16886 16.59
Piemonte 614762 33293 37 0.11 5.42 105 8 1752 4151 12.47
Emilia-Romagna 968146 32760 132 0.40 3.38 119 18 3493 4464 13.63
Veneto 1642047 24013 69 0.29 1.46 85 13 2943 2130 8.87
Toscana 589018 12499 85 0.68 2.12 77 9 2070 1144 9.15
Lazio 659927 12210 159 1.32 1.85 359 9 4035 881 7.22
Liguria 251611 11351 59 0.52 4.51 67 10 823 1577 13.89
Campania 459140 8128 218 2.76 1.77 223 7 3190 448 5.51
Marche 214746 7369 6 0.08 3.43 16 1 387 988 13.41
Puglia 328329 5899 43 0.73 1.80 167 6 1197 565 9.58
P.A. Trento 195801 5349 17 0.32 2.73 5 0 315 405 7.57
Sicilia 375134 4765 49 1.04 1.27 101 13 1379 289 6.07
Friuli Venezia Giulia 344376 3934 11 0.28 1.14 16 4 462 349 8.87
Abruzzo 166611 3906 15 0.39 2.34 31 2 520 472 12.08
P.A. Bolzano 144481 3003 0 0.00 2.08 8 2 215 292 9.72
Sardegna 148018 2564 59 2.36 1.73 46 10 1142 136 5.30
Umbria 165993 1928 13 0.68 1.16 15 2 366 81 4.20
Calabria 166570 1640 17 1.05 0.98 29 1 355 98 5.98
Valle d’Aosta 25724 1249 0 0.00 4.86 1 0 34 146 11.69
Basilicata 59870 565 1 0.18 0.94 4 1 119 28 4.96
Molise 35376 545 9 1.68 1.54 3 0 86 23 4.22

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 63713 216 0.34 5770 1 0.02 9.06 7462.57 675.83 1 in 134
Ontario 45314 158 0.35 2862 1 0.03 6.32 3080.11 194.54 1 in 325
Alberta 14474 0 0.00 242 0 0.00 1.67 3279.75 54.84 1 in 305
British Columbia 6162 0 0.00 211 0 0.00 3.42 1205.65 41.28 1 in 829
Saskatchewan 1662 11 0.67 24 0 0.00 1.44 1406.49 20.31 1 in 711
Manitoba 1338 15 1.13 16 0 0.00 1.20 971.31 11.62 1 in 1030
Nova Scotia 1086 1 0.09 65 0 0.00 5.99 1111.05 66.50 1 in 900
Newfoundland and Labrador 270 0 0.00 3 0 0.00 1.11 517.87 5.75 1 in 1931
New Brunswick 192 0 0.00 2 0 0.00 1.04 246.16 2.56 1 in 4062
Prince Edward Island 51 4 8.51 0 0 NaN 0.00 322.46 0.00 1 in 3101
Yukon 15 0 0.00 0 0 NaN 0.00 365.16 0.00 1 in 2739
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68139 4512 6.62
Hong Kong 4889 98 2.00
Guangdong 1769 8 0.45
Zhejiang 1278 1 0.08
Henan 1276 22 1.72
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 948 13 1.37
Beijing 935 9 0.96
Jiangxi 935 1 0.11
Shanghai 922 7 0.76
Xinjiang 902 3 0.33
Shandong 831 7 0.84
Jiangsu 665 0 0.00
Sichuan 663 3 0.45
Chongqing 584 6 1.03
Fujian 387 1 0.26
Shaanxi 377 3 0.80
Hebei 365 6 1.64
Liaoning 263 2 0.76
Inner Mongolia 261 1 0.38
Guangxi 257 2 0.78
Tianjin 233 3 1.29
Shanxi 203 0 0.00
Yunnan 201 2 1.00
Hainan 171 6 3.51
Gansu 170 2 1.18
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 19256.18 578.26 1 in 52
India 3196.73 54.35 1 in 313
Brazil 19817.46 606.59 1 in 50
Russia 7109.58 123.31 1 in 141
Peru 21447.84 927.51 1 in 47
Colombia 13583.07 436.36 1 in 74
South Africa 11272.25 264.53 1 in 89
Mexico 4934.28 524.62 1 in 203
Spain 11263.37 632.58 1 in 89
Argentina 11023.42 228.80 1 in 91
Chile 23505.48 645.54 1 in 43
Iran 4790.66 276.12 1 in 209
France 5481.03 458.76 1 in 182
United Kingdom 5304.80 626.78 1 in 189
Bangladesh NA NA 1 in NA
Saudi Arabia 9758.83 124.68 1 in 102
Pakistan 1518.95 32.23 1 in 658
Turkey 3483.59 83.28 1 in 287
Italy 4609.52 587.85 1 in 217
Iraq 6916.23 198.30 1 in 145

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 248821 6030 2.42
Miami-Dade Florida 161637 2658 1.64
Maricopa Arizona 136004 3091 2.27
Cook Illinois 131622 5097 3.87
Harris Texas 111525 2335 2.09
Dallas Texas 73700 1010 1.37
Broward Florida 73426 1220 1.66
Queens New York 70675 7234 10.24
Kings New York 65700 7297 11.11
Clark Nevada 61476 1206 1.96
Riverside California 53987 1067 1.98
Bronx New York 51944 4924 9.48
Orange California 49845 1053 2.11
San Bernardino California 49691 765 1.54
Bexar Texas 47543 1166 2.45
Suffolk New York 45304 2005 4.43
Nassau New York 45229 2198 4.86
Palm Beach Florida 43187 1168 2.70
Tarrant Texas 42798 638 1.49
San Diego California 40652 707 1.74
Hillsborough Florida 38545 562 1.46
Westchester New York 37277 1452 3.90
Orange Florida 37152 387 1.04
Philadelphia Pennsylvania 34699 1763 5.08
New York New York 32442 3173 9.78
Wayne Michigan 32278 2896 8.97
Kern California 30080 296 0.98
Hidalgo Texas 28732 1295 4.51
Shelby Tennessee 27947 402 1.44
Duval Florida 27734 272 0.98
Travis Texas 27038 395 1.46
Prince George’s Maryland 27027 803 2.97
Fresno California 26471 312 1.18
Mecklenburg North Carolina 26301 316 1.20
Middlesex Massachusetts 25752 2086 8.10
Fulton Georgia 25681 545 2.12
Gwinnett Georgia 25127 359 1.43
Salt Lake Utah 25058 236 0.94
Milwaukee Wisconsin 24853 502 2.02
Davidson Tennessee 24372 264 1.08
Hennepin Minnesota 24299 891 3.67
Franklin Ohio 23295 567 2.43
Suffolk Massachusetts 22756 1111 4.88
Pima Arizona 22000 596 2.71
Bergen New Jersey 21816 2038 9.34
Cameron Texas 21563 815 3.78
El Paso Texas 21093 464 2.20
St. Louis Missouri 20735 760 3.67
Montgomery Maryland 20718 825 3.98
Essex New Jersey 20528 2120 10.33
Pinellas Florida 20474 673 3.29
King Washington 20326 736 3.62
Hudson New Jersey 20286 1512 7.45
Alameda California 19350 300 1.55
Nueces Texas 19308 376 1.95
Marion Indiana 19272 750 3.89
Lee Florida 19176 438 2.28
Sacramento California 19128 327 1.71
Fairfax Virginia 19055 562 2.95
Fairfield Connecticut 19031 1415 7.44
Oakland Michigan 18672 1172 6.28
Santa Clara California 18611 260 1.40
Middlesex New Jersey 18603 1419 7.63
San Joaquin California 18558 368 1.98
Passaic New Jersey 18520 1248 6.74
Essex Massachusetts 18398 1253 6.81
Polk Florida 17863 469 2.63
Cobb Georgia 17792 404 2.27
Union New Jersey 17218 1354 7.86
Providence Rhode Island 17107 0 0.00
DeKalb Georgia 17100 315 1.84
Jefferson Louisiana 16802 556 3.31
Jefferson Alabama 16703 305 1.83
Out of GA Georgia 16569 137 0.83
Cuyahoga Ohio 16317 603 3.70
Baltimore Maryland 16302 608 3.73
Wake North Carolina 15819 210 1.33
Richmond New York 15451 1085 7.02
Stanislaus California 15441 290 1.88
DuPage Illinois 15385 540 3.51
Lake Illinois 15250 473 3.10
Fort Bend Texas 15144 248 1.64
Baltimore City Maryland 14962 470 3.14
Tulare California 14677 243 1.66
Contra Costa California 14639 186 1.27
Charleston South Carolina 14485 247 1.71
Rockland New York 14418 674 4.67
District of Columbia District of Columbia 14315 611 4.27
Oklahoma Oklahoma 14272 168 1.18
Tulsa Oklahoma 14271 139 0.97
East Baton Rouge Louisiana 14253 424 2.97
Polk Iowa 14109 243 1.72
Douglas Nebraska 13939 161 1.16
New Haven Connecticut 13793 1109 8.04
Worcester Massachusetts 13654 1061 7.77
Hartford Connecticut 13635 1426 10.46
Macomb Michigan 13302 983 7.39
Jefferson Kentucky 12960 274 2.11
Greenville South Carolina 12650 270 2.13
Will Illinois 12337 361 2.93

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc